INDUSTRY INFOSHEET: Vineyards and Wine Making
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Multivariate Statistical Process Monitoring (MSPM) has been established as a valuable tool for ensuring reliable product quality in the process industry. However,many organizations today are still not fully utilizing its potential to make significant improvements in their production environment. The MSPM approach to process monitoring involves the use of multivariate models to simultaneously ...
Most of the problems in the world are multivariate in nature - meaning that there are many variables that contribute to them. We cannot simply use the season of the year to predict the weather, as many other variables are part of the relationship to weather. The same holds true with other scientific, economic, and consumer preference relationships, such as product quality, which is influenced by ...
Using mUltivariate analysis in the search for life on mars The Unscrambler® X was used to develop models to analyze Martian soil data from NASA’s most sophisticated Mars rover.
On the 26th November 2011, NASA launched its largest and most sophisticated Mars over ever. Officially named the Mars Science Laboratory (MSL), the ‘Curiosity’ rover will explore the mineral-rich Gale Crater region of ...
Improving prediction robustness from hard and soft modeling
Jplus Consulting was formed in 2009 to develop and commercialise innovative multivariate data analysis tools for the quantitative characterization of chemical processes. The ReactLab™ suite of software provides sophisticated but easy to use applications for analysing both process and equilibrium titration spectroscopic measurements and ...
Applying predictive modeling to geology and hydrology
Dr Joshua Valder recently completed his PhD from the well-respected South Dakota School of Mines and Technology. As part of the Atmosphere and Environmental Sciences program in the Civil and Geological Engineering, he was focused on developing an approach that uses multivariate statistical methods in identifying unknown source areas and ...
chemical engineering is a discipline that to a certain degree relies on deterministic or first principle models. these models may describe flow rates, mass balance, energy and other principal properties of a system. but to quote the famous chemist/statistician george box: “all models are wrong but some are useful”.
many of the models or formulae found in the literature have certain parameters ...
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